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Mar 30, 2025Program Duration
6 monthsLearning Format
Live, Online, InteractiveProgram certificate from Purdue University Online and Simplilearn
Become eligible for a membership at the Purdue University Alumni Association
Live classes on topics such as Deep Learning, Neural Networks, Agentic Frameworks, etc
15+ hands-on projects and 3 capstone projects with integrated labs
Curriculum delivered in live classes by industry experts
Masterclasses by the Purdue faculty and staff and IBM experts
Strengthen your resume and professional profile with exclusive insider tips
Highlight your profile to recruiters and stand out in the job market
Enroll your employees into this program, NOW!
The AI & ML Engineer develops, implements, and maintains machine learning and AI solutions. This role involves coding, data preprocessing, model training, and deploying solutions in real-world applications. Proficiency in machine learning frameworks is essential for success in this role.
Hiring CompaniesThis carefully curated program will lead you toward a successful career in AI and ML. You will also explore some of the latest advancements in the AI space, such as ChatGPT and GenAI, create conversational Chatbots, and learn content generation and LLMs.
Discover the principles of AI automation, analysis, and much more from this AI ML Course, which is offered in collaboration with Purdue University Online. Begin your AI adventure by enrolling in this AI and ML course.
This course provides you with essential Python programming skills that will serve as the building blocks for your entire program journey. You will learn how to effectively implement artificial intelligence (AI) and machine learning (ML) algorithms, conduct data analysis, and construct intelligent systems efficiently using Python
Build a strong foundation in Python fundamentals, including strings, Lambda functions, and lists. Master NumPy for array manipulation and grasp linear algebra basics and key statistical concepts like central tendency, dispersion, skewness, covariance, and correlation. Learn hypothesis testing (Z-test, T-test, ANOVA) and enhance data visualization with Matplotlib, Seaborn, Plotly, and Bokeh.
Master the machine learning pipeline, including supervised (regression, classification) and unsupervised learning (clustering, ensemble modeling). Explore TensorFlow and Keras for model evaluation and gain hands-on experience with PyTorch for recommendation engines, building a strong foundation in ML approaches and applications.
Explore deep learning vs. machine learning, covering key concepts and applications. Learn neural networks, propagation, TensorFlow 2, and Keras while enhancing model performance and interpretability. Gain hands-on experience with CNNs, transfer learning, object detection, RNNs, autoencoders, PyTorch, model building, and optimization TensorFlow.
Explore advanced AI models like transformers, Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs). Get hands-on experience with cutting-edge AI tools in the OpenAI Playground to build and experiment with powerful machine learning models.
Master the Essentials of Generative AI with IBM, exploring its core concepts and capabilities. Learn to leverage advanced text generation tools, create AI-driven audio and video content, and experience cutting-edge Generative AI technologies.
Understand Deep Learning and Large Language Models, exploring Foundation Models and pre-trained AI models for text-to-text, text-to-image, and text-to-code generation. Get hands-on experience building AI applications with Foundation Models and IBM watsonx.ai, including AI-powered code generation and development.
Apply the skills you’ve gained in this capstone project, tackling real-world industry challenges using AI and ML tools learned throughout the program. This hands-on experience will strengthen your expertise and help you stand out to potential employers.
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.
Attend these online live sessions delivered by industry experts to gain insights about the latest advancements in the AI space. Some of the areas and concepts covered include Generative AI and its Applications, leveraging the power of generative modeling to build innovative products, building and deploying GPT-powered applications. Learn ChatGPT, its architecture, training methodology, and business applications. {*Areas mentioned above are subject to change}
In this advanced course, you will take a deep dive into the science of applying machine learning algorithms to process vast amounts of natural language data. The primary focus areas include natural language understanding, feature engineering, natural language generation, automated speech recognition, speech-to-text conversion, text-to-speech conversion, and voice-assisted devices.
Understand the role of transformers in modern AI and analyze neural networks for generation tasks. Explore different generative models like VAEs, GANs, transformers, and autoencoders, learning their ideal use cases. Dive into attention mechanisms, study popular models like GPT and BERT, and compare architectures and objectives to optimize AI applications.
Explore our AI Prompting Tool and discover key prompt engineering techniques. Learn to leverage common prompt engineering tools and apply the Chain-of-Thought approach to enhance AI responses, ensuring more accurate, contextual, and efficient interactions with AI models.
The Agentic AI Masterclass dives deep into the next evolution of AI—autonomous AI agents that can plan, reason, and execute complex tasks with minimal human intervention. Learn how to design, build, and deploy AI-driven agents.
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Start your program on the designated cohort start date.
AI and ML professionals are in high demand globally. The global AI market is projected to grow at a staggering CAGR of 35.7% from (2024-2030) -Marketsandmarkets, and the expected total contribution of AI to the global economy by 2030 is $15.7 trillion, highlighting the urgent need for AI and ML skills in India.
In collaboration with IBM, Purdue’s Professional Certificate in AI and Machine Learning offers a hands-on learning experience with cutting-edge AI tools while providing a strong theoretical foundation through Purdue’s academic excellence. This program unlocks lucrative career opportunities and positions you at the forefront of industry transformation.
With AI and ML now essential in sectors like IT, BFSI, and manufacturing, your expertise will be instrumental in shaping the future of technology, business, and innovation in India.
An artificial intelligence and machine learning course teaches you how to build intelligent systems that learn from data, solve complex problems, and improve over time. It covers key concepts, algorithms, and real-world applications. This AI ML course combines a blend of live online classes, masterclasses from Purdue faculty and staff and IBM experts, industry-relevant, hands-on projects, and more to help you gain job-ready skills.
To become an AI and machine learning engineer, you must develop a strong foundation in math, statistics, and programming. You’ll also need a solid understanding of AI and ML concepts and have competency in programming. A machine learning and AI course where you can work on real-world projects can help you learn these skills.
Purdue University's reputation as a leading research institution can give you confidence that you will gain a thorough and rigorous understanding of AI and machine learning. You will also get to learn from IBM industry experts through recorded videos in this comprehensive AI ML course. You will earn a joint program completion certificate from Purdue University Online and Simplilearn and industry-recognized certificates from IBM for IBM courses. Moreover, Simplilearn’s Career Services will help you build your resume and professional profile to attract recruiters.
This AI and machine learning course, in collaboration with Purdue University Online, stands out in this competitive field. Its industry-driven curriculum, which emphasizes practical application over theory, ensures that students gain real-world experience in hands-on projects. This machine learning and AI course covers Python programming and its data science applications, deep learning with TensorFlow, GenAI, NLP, and more.
This Artificial Intelligence and ML Course has a three-step application process:
Many job opportunities will become reachable with an AI and machine learning certificate. Some specific examples of what industries need skilled AI and ML professionals to do include (but aren’t limited to):
Ecommerce: Improve recommendation engines, chatbots, and logistics.
Entertainment: Customize content, enhance viewer engagement, and streamline production.
Healthcare: Improve diagnostics, personalized treatment plans, and better patient care.
Purdue University is a top public research institution developing practical solutions to today’s toughest challenges. Ranked in each of the last four years as one of the 10 Most Innovative Universities in the United States by U.S. News & World Report, Purdue delivers world-changing research and discovery.
Purdue University Online has partnered with Simplilearn to deliver various online professional programs. Simplilearn’s award-winning immersive learning model focuses on applied learning experiences intended to create immediate impact.